Adaptive fuzzy finite‐time fault‐tolerant control design for non‐linear systems under sensor faults

You, Guodong; Xu, Bin; Cao, Yang; Hou, Xiaoxin; Zhao, Shuangle; Liao, Wei

doi:10.1049/cth2.12322

Cited by 8 publications

(14 citation statements)

References 42 publications

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“…This assumption is common for the control design of PFSs. 38,39 Moreover, according to You et al, 38 𝜛 i ( x i , x i+1 ) ≠ 0 requirement is reasonable. and C n and C N may be unknown and they cannot be used to design controller.…”

Section: Preparationmentioning

confidence: 99%

Adaptive fuzzy finite‐time fault‐tolerant control design for nonlinear pure‐feedback systems with sensor faults

You

Shen

et al. 2023

Adaptive Control & Signal

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Summary This article investigates an adaptive fuzzy finite‐time fault‐tolerant control (FTC) scheme for nonlinear pure‐feedback systems (PFSs) with sensor faults. The pure‐feedback system in this article includes time‐varying fault factors and unknown nonlinear functions. Choose the time‐varying fault separation method to keep the fault parameters away from the actual state to avoid coupling problems. Using the mean‐value theorem (MVT) to handle the non‐affine functions in the system and effectively decouple the control input signals. The approximation capability of the fuzzy logic systems (FLSs) is utilized to handle the unknown functions in the system and combined with the backstepping techniques for the construction of the adaptive fault‐tolerant controller. Using Lyapunov theory to verify the stability of closed‐loop system. Finally, choose two simulation examples verified the validity of the control strategy.

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Section: Preparationmentioning

confidence: 99%

Adaptive fuzzy finite‐time fault‐tolerant control design for nonlinear pure‐feedback systems with sensor faults

You

Shen

et al. 2023

Adaptive Control & Signal

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“…The approaches have been primarily focused on systems affected by sensor faults [ 1 , 2 , 3 ], actuator faults [ 4 , 5 ] and simultaneously both sensor and actuator faults [ 6 , 7 , 8 , 9 ]. Many well-known advanced control methods have been proposed as a way to cope with fault occurrences: these methods include—but are not limited to—sliding mode control [ 10 , 11 , 12 , 13 ], adaptive control [ 14 ], model predictive control [ 15 , 16 ], artificial neural network control [ 17 , 18 , 19 ], fuzzy control [ 20 ], and hybrid control [ 21 , 22 , 23 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

Min–Max Optimal Control of Robot Manipulators Affected by Sensor Faults

Milić

Kasač

Lukas

2023

Sensors

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This paper is concerned with the control law synthesis for robot manipulators, which guarantees that the effect of the sensor faults is kept under a permissible level, and ensures the stability of the closed-loop system. Based on Lyapunov’s stability analysis, the conditions that enable the application of the simple bisection method in the optimization procedure were derived. The control law, with certain properties that make the construction of the Lyapunov function much easier—and, thus, the determination of stability conditions—was considered. Furthermore, the optimization problem was formulated as a class of problem in which minimization and maximization of the same performance criterion were simultaneously carried out. The algorithm proposed to solve the related zero-sum differential game was based on Newton’s method with recursive matrix relations, in which the first- and second-order derivatives of the objective function are calculated using hyper-dual numbers. The results of this paper were evaluated in simulation on a robot manipulator with three degrees of freedom.

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“…Motivated by the above references, this paper studies the observer‐based finite‐time adaptive fuzzy fault‐tolerant control problem for a class of nonlinear systems with input delays, external disturbances, and prescribed performance, proposing a new finite‐time adaptive fuzzy fault‐tolerant control. The main contributions of this paper are as follows: The control scheme proposed in References 37 and 38 cannot be extended to systems with unmeasurable states, while the state observer constructed in this paper overcomes the limitation that all states in the system can be measured. Therefore, the control strategy proposed in this paper is applicable to a wider range. The infinite‐time control strategy designed in Reference 39 can ensure the stability of the system only when the time tends to infinity.…”

Section: Introductionmentioning

confidence: 99%

“…The control scheme proposed in References 37 and 38 cannot be extended to systems with unmeasurable states, while the state observer constructed in this paper overcomes the limitation that all states in the system can be measured. Therefore, the control strategy proposed in this paper is applicable to a wider range.…”

Section: Introductionmentioning

confidence: 99%

Observer‐based finite‐time adaptive fault‐tolerant control for nonlinear system with input delay and prescribed performance

Liu

2023

Adaptive Control & Signal

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Summary This paper focuses on the issue of the adaptive fuzzy fault‐tolerant control for a type of nonlinear system with input delay and disturbances. Fuzzy logic systems (FLSs) are used to estimate the unknown nonlinear quantities of the system. The Pade approximation is applied to counteract the negative effects of input delay on the system. The prescribed performance control based on error transformation helps to guarantee the transient performance of system errors. A fuzzy state observer is established to estimate the unmeasurable states of the system. Then, in presence of disturbances and actuator faults, a finite‐time control scheme is designed using the Lyapunov function and the backstepping technique. Based on Lyapunov stability, it is proved that the tracking error can converge to a specified range in a finite time, and all signals in the system are bounded in the controller design. In the end, the simulations of a second‐order system and a multi‐area interconnected power system certify the feasibility and effectiveness of the control strategy.

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Adaptive fuzzy finite‐time fault‐tolerant control design for non‐linear systems under sensor faults

Cited by 8 publications

References 42 publications

Adaptive fuzzy finite‐time fault‐tolerant control design for nonlinear pure‐feedback systems with sensor faults

Adaptive fuzzy finite‐time fault‐tolerant control design for nonlinear pure‐feedback systems with sensor faults

Min–Max Optimal Control of Robot Manipulators Affected by Sensor Faults

Observer‐based finite‐time adaptive fault‐tolerant control for nonlinear system with input delay and prescribed performance

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